Method for the early detection of pancreatic cancer and other gastrointestinal disease conditions

ABSTRACT

A method for the early diagnosis of pancreatic cancer and other gastrointestinal disease compares the gene expression patterns from a patient&#39;s peripheral blood monocytes-lymphocyte&#39;s gene system with either the similar gene expression patterns of a normal person, or with the similar gene expression patterns of a person known to have the condition being screened for. Differences between the patient&#39;s gene expression patterns for particular genes and the normal patterns indicates the presence of the condition with the number of differences indicating the probability of the condition. Similarities between the patient&#39;s gene expression patterns for those particular genes and the patterns of a person known to have the condition indicates the presence of the condition with the number of similarities indicating the probability of the condition. Particular genes for use in identifying pancreatic cancer are disclosed.

RELATED APPLICATIONS

This is a continuation-in-part of copending application Ser. No. 10/938,696, filed Sep. 11, 2004, and entitled ‘The Discovery and a Method for the Early Detection of Pancreatic Cancer and other Disease Conditions’, and this application claims the benefit of Provisional Patent Application No. 60/598,477, filed Aug. 3, 2004, entitled “Process for Early Identification of Cancer and Other Disease Conditions,” Provisional Application No. 60/607,088, filed Sep. 5, 2004, entitled “The Discovery and a Method for the Early Detection of Pancreatic Cancer and Other Disease Conditions”, Provisional Patent Application No. 60/664,842, filed Mar. 25, 2005, entitled “A Method for the Early Detection of Pancreatic Cancer and Other Gastrointestinal Disease Conditions,” Provisional Patent Application No. 60/676,670, filed Apr. 30, 2005, entitled “A Method For The Early Detection Of Pancreatic Cancer And Other Gastrointestinal Disease Conditions.” Applicant also makes reference to Disclosure Document No. 532619, filed Jun. 5, 2003 (referred to in parent application Ser. No. 10/938,696), entitled “The Method For A Useful Process for the Early Identification Of Cancer,” Disclosure Document No. 560475, filed Sep. 10, 2004 (referred to in parent application Ser. No. 10/938,696), entitled “The Discovery and a Method for the Early Detection of Pancreatic Cancer and Other Disease Conditions,” Disclosure Documents No. 572656, filed Mar. 6, 2005, entitled “Gene Expression Diagnosis of Pancreatic Cancer (Intraductal Pancreatic Adenocarcinoma) and Other Gastrointestinal Growths and Conditions from Peripheral Blood Lymphocytes,” Disclosure Documents No. 573431, filed Mar. 22, 2005, entitled “Gene Expression Diagnosis of Pancreatic Cancer (Intraductal Pancreatic Adenocarcinoma) and Other Gastrointestinal Growths and Conditions from Peripheral Blood Lymphocytes,” and Disclosure Document No. 574718, filed Apr. 15, 2005, entitled “Gene Expression Diagnosis of Pancreatic Cancer (Intraductal Pancreatic Adenocarcinoma) and Other Gastrointestinal Growths and Conditions from Peripheral Blood Lymphocytes.” All of the above applications and disclosure documents are hereby incorporated herein by reference.

BACKGROUND OF THE INVENTION

1. Field

This invention is in the field of methods for diagnosis of disease conditions and particularly diagnosis of pancreatic cancer and other gastrointestinal disease conditions.

2. State of the Art

Pancreatic cancer is a deadly disease which has a mortality rate in the United States of more than 27,000 people a year, Lillemoe, K. D., C. J. Yeo, and J. L. Cameron, Pancreatic cancer: state-of-the-art care. CA Cancer J Clin, 2000. 50(4): p. 241-68. About 85% of those diagnosed with the disease have metastasis or spread of the disease beyond the pancreas and are almost impossible to cure with surgical resection, the only possible method of curing the disease at this time. If the growth is found sooner it may be resected with a much better hope of cure. Only about 15% of the newly diagnosed cases are resectable and the chances of a cure are usually 25% or less. Wiesenauer C. A. et al., Preoperative Predictors of Malignancy in Pancreatic Intraductal Papillary Mucinous Neoplasms. Arch. Surg; 2003 138: p 610-618; Ros, P. R. and K. J. Mortele, Imaging features of pancreatic neoplasms. Jbr-Btr, 2001. 84(6): p. 239-49; Ryu, B., et al., Relationships and differentially expressed genes among pancreatic cancers examined by large-scale serial analysis of gene expression. Cancer Res, 2002. 62(3): p. 819-26; Ito, M., et al., Molecular basis of T cell-mediated recognition of pancreatic cancer cells. Cancer Res, 2001. 61(5): p. 2038-46. Earlier diagnosis is the only hope of allowing earlier successful treatment of pancreatic cancer at this time.

Since the dividing time of the pancreatic cancer cell is around 40 days, the cancer has been present for many months or years before it is detectable by present imaging and other diagnostic methods. Pathway markers have not as yet proved successful in the early diagnosis of pancreatic or other cancers with a high degree of specificity or sensitivity. Lillemoe, K. D., C. J. Yeo, and J. L. Cameron, Pancreatic cancer: state-of-the-art care. CA Cancer J Clin, 2000. 50(4): p. 241-68; Rosty C, Goggins M., Early detection of pancreatic carcinoma. Hematol Oncol Clin North Am, 2002 16(1):37-52.

With the development of tumors, dendritic cells or macrophages note new growth, whether of genetic or epigenetic origin, by recognizing the altered proteins presented on the cancer cell's surface through their receptor channels. The dendritic cells convey these altered protein changes to the lymphocytes with the addition of major histocompatibility complexes. This includes T. lymphocytes CD8 with HCS I and CD4 with HCS II. The B lymphocytes are subsequently programmed by the recognizing T lymphocyte. Zeng, G., MHC Class II-Restricted Tumor Antigens Recognized by CD4+T Cells: New Strategies for Cancer Vaccine Design. J Immunother, 2001. 24(3): p. 195-204; Jonuleit, H., et al., Identification and functional characterization of human CD4(+)CD25(+) T cells with regulatory properties isolatedfrom peripheral blood. J Exp Med, 2001. 193(11): p. 1285-94; Serbina N. V., Pamer E. G. Giving Credit Where Credit Is Due. Science, 2003, 301:1856-1857; and Baxevanis, C. N., et al., Tumor-specific CD4+T lymphocytes from cancer patients are required for optimal induction of cytotoxic T cells against the autologous tumor. J Immunol, 2000. 164(7): p. 3902-12. Through this mechanism, the lymphocytes specifically recognize the new growth and program specifically against it, sending tumor infiltrating lymphocytes or TIL cells to the new growth. These TIL cells may decrease in the area of the tumor as tolerance for the tumor develops. Ryschich, E., et al., Transformation of the microvascular system during multistage tumorigenesis. Int J Cancer, 2002. 97(6): p. 719-25. It has been shown that the CD4-CD25 T lymphocytes contribute to tolerance of developing cancer. Liyanage, U. K., et al., Prevalence of regulatory T cells is increased in peripheral blood and tumor microenvironment of patients with pancreas or breast adenocarcinoma. J Immunol, 2002. 169(5): p. 2756-61. The use of peripheral blood lymphocytes for diagnosis of certain diseases have been proposed and described in Hong M H, X. X., Mai H Q, Cao S M Min H Q, Analysis of gene expression patterns of periphery lymphocytes in patients with nasopharyngeal carcinoma. Ai Zheng, 2002. 21(1): p. 21-4; Xu T et al Microarray analysis reveals differences in gene expression of circulating CD8+ T cells in melanoma patients and healthy donors. Cancer Res. 2004 May 15; 64(10):3661-7; Thomas A M et al. Mesothelin-specific CD8(+) T cell responses provide evidence of in vivo cross-priming by antigen-presenting cells in vaccinated pancreatic cancer patients. J Exp Med. 2004 Aug. 2; 200(3): 297-306; and McLaren P J et al Antigen-specific gene expression profiles of peripheral blood mononuclear cells do not reflect those of T-lymphocyte subsets. Clin Diagn Lab Immunol. 2004 September; 11(5):977-82. Twine & Burczynski. Twine N C, et al. Disease-associated expression profiles in peripheral blood mononuclear cells from patients with advanced renal cell carcinoma. Cancer Res. 2003 Sep. 15; 63(18):6069-75. Burczynski M E, Twine N C et al. Transcriptional profiles in peripheral blood mononuclear cells prognostic of clinical outcomes in patients with advanced renal cell carcinoma. Clinical Cancer Res. 2005 Feb. 1; 11(3):1181-9.

SUMMARY OF THE INVENTION

As indicated above, dendritic cells in a body convey altered protein changes resulting from a change in a body's condition to the lymphocytes with the addition of major histocompatibility complexes. This includes T. lymphocytes CD8 with HCS I and CD4 with HCS II. The B lymphocytes are subsequently programmed by the recognizing T lymphocyte. Because of this, a body's peripheral blood monocyte-lymphocyte's gene system should recognize and continue to react to changes in a body's condition, such as a developing neoplasm. According to the invention, it has been found that this recognition and reaction to changes in a body's condition changes the body's peripheral blood monocyte-lymphocyte's gene system. The state of the body's peripheral blood monocyte-lymphocyte's gene system can be determined by determining the gene expression characteristics of genes of the body's peripheral blood monocyte-lymphocytes. By comparing the monocyte-lymphocyte gene expression characteristics of the monocyte-lymphocyte genes from a group of bodies having a certain known condition with the monocyte-lymphocyte gene expression characteristics of similar peripheral blood monocyte-lymphocytes from a group of bodies known not to have the certain condition, a number of specific genes likely to show different gene expressions between the group known to have the certain condition and the group known not to have the certain condition can be identified. While it may not be possible to pick out one or more particular genes which will always be expressed differently between a body with the certain condition and one without the certain condition, and errors can occur in the determination of individual gene expression characteristics, where the expression characteristics of a number of genes are found likely to be different between the monocyte-lymphocyte genes of a body with the certain condition and a body without the certain condition, an indication is given by a difference in the expression of one or more of the identified genes. The number of identified genes showing a different expression as well as the particular genes showing a different expression provides an indication of the degree of probability of the existence of the condition.

By comparing the monocyte-lymphocyte gene expression characteristics of the monocyte-lymphocyte genes from the group of bodies having the certain known condition with the monocyte-lymphocyte gene expression characteristics of similar peripheral blood monocyte-lymphocytes from the group of bodies known not to have the certain condition, a “normal differential gene expression pattern” typical of a person known not to have the certain condition is developed. This normal differential gene expression pattern will include the gene expression characteristics for a number of the genes likely to have different gene expression characteristics from the expression characteristics of those same genes from a body having the certain condition. Other particular genes that can provide other desired information regarding a body may also be included in the normal differential gene expression pattern, if desired. Once this normal differential gene expression pattern is developed, it can be used to screen or diagnose a patient to determine of the patient has the certain condition. To do this, a “patient differential gene expression pattern” is developed for the patient to be screened for the certain condition. The patient differential gene expression pattern will show the gene expression characteristics for the same genes as included in the normal differential gene expression pattern so that those gene expression characteristics can be compared. Significant differences between the patient differential gene expression pattern and the normal differential gene expression pattern indicates that the body from which the patient differential gene pattern was obtained is suffering from the certain condition. It has been found that the peripheral blood monocyte-lymphocytes gene system will begin to change as the condition in the body develops, thereby allowing much earlier diagnosis of the developing condition than with prior art methods of diagnosis. For example, with a developing neoplasm in a patient, such as a pancreatic tumor leading to ductal pancreatic adenocarcinoma, the patient's peripheral blood monocyte-lymphocyte's gene system recognizes and continues to react to the developing neoplasm. The developing changes in the tumor growth will be reflected in statistically significant differences in the peripheral blood monocyte-lymphocyte's gene expression patterns compared to normal peripheral blood monocyte-lymphocyte gene expression patterns in people known not to have the developing neoplasm. The normal differential gene expression pattern is generated from a group of people known not to be suffering from a developing neoplasm. Such group of people may be similar in age and gender, and/or other features, to the patient being screened, although matching age, gender, or other features appears not to be necessary. The comparison of the patient differential gene expression pattern with the normal differential gene expression pattern allows the early diagnosis of the developing neoplasm or disease.

By comparing the monocyte-lymphocyte gene expression characteristics of the monocyte-lymphocytes genes from the group of bodies having the certain known condition with the monocyte-lymphocyte gene expression characteristics of similar peripheral blood monocyte-lymphocytes from the group of bodies known not to have the certain condition, not only is the normal differential gene expression pattern typical of a person known not to be suffering from the certain condition developed, but a “condition differential gene expression pattern” typical of a person known to have the certain condition is also developed. Thus, although it is currently preferred to compare the patient differential gene expression pattern with the normal differential gene expression pattern to determine differences with the differences indicating the existence of the certain condition in the patient being screened, the patient differential gene expression pattern can be compared with the condition differential gene expression pattern to determine similarities between the patterns with the similarities between the patterns, rather than differences between the patterns, indicating the existence of the certain condition in the patient.

In developing the “normal differential gene expression pattern,” the “condition differential gene expression pattern,” and the “patient differential gene expression pattern,” the gene expression characteristics determined for each pattern should be the same gene expression characteristics and such gene expression characteristics should be determined in a similar manner. A currently preferred method of determining the gene expression characteristics is with a gene expression microarray pattern. Such an array provides an indication of whether a gene is expressed neutrally, or whether the gene is over expressed or under expressed. In such case, it is the characteristics of over expression or under expression that are determined and compared.

While there are various ways of preparing the monocyte-lymphocyte genes for determination of the gene expression characteristics, a currently preferred method processes peripheral blood monocyte-lymphocytes isolated from blood drawn from a patient or other body to total RNA, and obtains amplified aRNA or cDNA from the total RNA. The separation of the monocyte-lymphocytes from the blood is preferably begun rapidly, within about two hours of drawing the blood, and more preferably within about twenty to thirty minutes of drawing the blood. The separated mononuclear cells are then preserved before storage or freezing. To determine the gene expressions, the aRNA or cDNA is hybridized to the microarray. The data obtained from the microarray is analyzed with available computer software for that purpose, such as Gene Sight software, with mean paired ratios using Universal Human Reference RNA as a standard, usually with a p value of 0.0001 or 0.00001 of over expressed or under expressed genes.

The separation of the monocyte-lymphocytes from the blood may involve separating and isolating subsets of CD8, CD4, and CD4-CD25 T lymphocytes and B lymphocytes from the blood. The subsets of CD8, CD4, and CD4-CD25 T lymphocytes and B lymphocytes can be obtained through negative selection of the cells which are then processed to total RNA with amplification of polyadenylated messenger RNA to amplified anti-sense aRNA or to cDNA. Use of negatively selected CD8, CD4, CD4-CD25 T lymphocytes and B lymphocytes isolated from the peripheral blood of persons with pancreatic cancer and other disease conditions may provide a specific and more focused early diagnosis of the pancreatic cancer or other disease.

The invention provides identification of a number of particular genes of which the over expression or under expression thereof to a high degree of probability indicate the presence of pancreatic cancer and particularly ductal pancreatic adenocarcinoma.

In a preferred method of preparing the monocyte-lymphocyte genes for determination of the gene expression characteristics, venous blood is drawn from a peripheral vein, usually an anti-cubital arm vein. The blood is drawn into an RNase free, heparinized vacuum tube with a Ficoll gradient. The blood specimens are immediately processed with centrifugation and aspiration of the mononuclear cell layer with sterile RNase free pipettes and RNase free laboratory equipment. This process is started within two hours of the drawing of the blood, and preferably within 20 to 30 minutes of the drawing of the blood. This mononuclear cell layer is then washed and preserved according to a careful and consistent protocol method. Further processing can be continued immediately or the preserved specimen can be stored at −80° C. for later processing. In the further processing, total RNA is extracted from the preserved cells and polyA messenger RNA from the total RNA is amplified to antisense aRNA or cDNA for subsequent hybridization to microarray human slides. Universal Human Reference RNA is similarly processed at that time for use as a reference standard.

The results of these microarray hybridization studies can be analyzed with the Gene Sight software using a Student's Test method. The individual genes are initially matched to the control specimen genes with a pair Mean ratio difference of p 0.00001 or p 0.0001 for selection from Human Slides A and B. The patterns of selection are noted with the Hierarchical Cluster method. The individual genes over expressed and under-expressed in this comparison are recorded. Other methods of analysis can also be used, including the SAM method, a different linear ANOVA test method and other methods.

BRIEF DESCRIPTION OF THE DRAWINGS

The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawings will be provided by the Office upon request and payment of the necessary fee. In the accompanying drawings, which show the best mode currently contemplated for carrying out the invention:

FIG. 1 is a showing of the results of microarray determination of gene expression characteristics of three patients with known ductal pancreatic adenocarcinoma and seven persons without ductal pancreatic adenocarcinoma used as controls or normals;

FIG. 2, a showing similar to that of FIG. 1 of the results of microarray determination of gene expression characteristics of three patients with known ductal pancreatic adenocarcinoma and seven persons without ductal pancreatic adenocarcinoma used as controls, but to a higher probability of certainty than shown in FIG. 1;

FIG. 3, a showing of the results of microarray determination of gene expression characteristics of four patients with known ductal pancreatic adenocarcinoma and eight persons without ductal pancreatic adenocarcinoma used as controls or normals;

FIG. 4, a showing of the results of microarray determination of gene expression characteristics of two patients with known ductal mucinous pancreatic neoplasm and two persons with ductal pancreatic adenocarcinoma;

FIG. 5, the showing of the results of microarray determination of gene expression characteristics of FIG. 1, executed in color;

FIG. 6, the showing of the results of microarray determination of gene expression characteristics of FIG. 2, executed in color;

FIG. 7, the showing of the results of microarray determination of gene expression characteristics of FIG. 3, executed in color; and

FIG. 8, the showing of the results of microarray determination of gene expression characteristics of FIG. 4, executed in color.

DETAILED DESCRIPTION OF THE INVENTION

The invention, in part, involves obtaining gene expression characteristics of the gene system of monocyte-lymphocytes of the peripheral blood from a body or patient to be tested. This usually includes obtaining peripheral blood from the body or patient to be tested, separating or isolating the monocyte-lymphocytes from the blood, processing the monocyte-lymphocytes to allow determination of gene expression characteristics of the genes, and determining the gene expression characteristics of the genes. In a preferred method of obtaining and processing the monocyte-lymphocytes, a peripheral blood sample is obtained from the patient in the usual manner of obtaining venous blood from a peripheral vein, such as the anti-cubital vein of the arm. Usually 16 ml in two 8 ml tubes is drawn into sterile RNase free vacuum tubes with a Ficoll type gradient and heparin. (Such as the BD Vacutainer CPT tubes with heparin.) These tubes are centrifuged at a centrifugal force of about 1500 xg, using, for example, the top of the tubes 17 cm from the center of the center post of the centrifuge, for 20 minutes at 2800 rpm at room temperature. The resulting ‘snow storm’ of monocyte-lymphocytes sits on top of the Ficoll gradient and below the clear plasma layer. Approximately 2 ml of this monocyte-lymphocyte layer is aspirated with a sterile RNase free plastic Pasteur bulb tube and placed in a sterile RNase free 15 ml plastic tube with a screw top.

The cells in the aspirated sample are then washed. Approximately 13 ml of 1×PBS (phosphate buffered saline) solution made with RNase free water, is added to the plastic tube, and centrifuged at 1300 rpm for 15 minutes. The same distance is used for the centrifuge as previously, 17 cm from the center of the center post of the centrifuge. This is done at room temperature. A small white pellet is found at the bottom of the centrifuged 15 ml plastic tube. The supernatant is gently poured from the tube without disturbing the pellet. The small remaining part of the supernatant is very gently aspirated from the tube, again not disturbing the pellet.

The cells in the pellet are now preserved in one of three ways. In method A, two tubes with the pellets are used and 350 μl added of a B-ME (B-Mercapthanol) preservative. (Such as 10 μl of B-ME in 1 ml of Buffer RLT from the Quiagen RNeasy Mini Protect Kit.) Mild vortexing of the lysate with the pellets in the tube is gently done, holding the tube to the side of the rim of the vortexing machine. Allow the cells to be lysated for five or more minutes and draw back and forth through a sterile Rnase free #18 needle and 1 ml sterile Rnase free syringe five times gently. This amount from the two pellets in the two tubes is then transferred to one 1.5 ml Eppendorff sterile RNase free tube. This may then be stored at −80° C. or continued to be processed to total RNA (tRNA). In method B, the sample may instead be placed in a DMSO (dimethyl sulphoxide) solution made up of 500 μl of DMSO, 500 μl of the patient's own serum and 4 ml of RPMI 1640 which is mixed and then 1 ml added to the pellet at the bottom of the 15 ml plastic tube and gently vortex. This may then be slowly frozen to −80° C. for storage or immediately processed to total RNA (tRNA). If it is stored at −80° C., it should be melted rapidly to 37° C. before processing to total RNA. This procedure allows the cells to be negatively selected to lymphocyte subsets of CD8, CD4, CD4-CD25 and B lymphocytes which are then processed to aRNA or to cDNA as described below for microarray pattern recognition. In method C, 100 μl of RNlater (from Qiagen RNeasy Mini Protect Kit) may instead be added to the washed pellet as a preservative to stop enzyme degradation. This is thought to be a high salt solution and the cells in this solution may not be effectively negatively selected for subset analysis. The patterns in this method (Method C) are of the total monocyte-lymphocyte gene expression reaction to the neoplasm.

If the B-ME buffered method of lysate of two tubes of pellets (Method A) is used for further processing to total RNA, an equal amount of 70% ethanol made from pure absolute alcohol with 30% of RNase free non-DEPCA treated sterile water added to the alcohol, is added to the cell containing lysate in the Eppendorff tube. This is gently mixed and then in 700 μl amounts added to a silica gel column. (Such as that supplied by Qiagen in their Mini Protect Kit.) This is then centrifuged at 10,000 rpm (approximately 9,000 g.) for one minute and the flow through discarded. The ethanol bounded total RNA with higher amount of messenger RNA (mRNA) is bound to the silica gel membrane which is then washed and eluted in sterile RNase free water. In more detail, the remaining lysate in the Eppendorff tube is transferred in 700 μl or less volume to the silica column and centrifuged in a microcentrifuge again for one minute at the same speed, 10,000 rpm. The flow through is discarded and 350 μl of a wash solution. (Such as that from the Qiagen RNeasy Mini Protect Kit). Is placed on the column and again centrifuged for one minute at 10,000 rpm. Following this add 10 μl of DNase1 stock solution from an RNase Free DNAse Set (Introvirogen) to 70 μl RDD buffer. This eliminates the remaining small amount of DNA leaving the enriched mRNA. Mix gently by inverting and add gently to the silica gel column. Let stand for 15 minutes then wash again with 350 μl of a wash solution, microcentrifuging for one minute at 10,000 rpm. Discard the flow through.

Pipette 500 μl of Buffer RPE from the Qiagen Kit to the column and centrifuge for one minute at 10,000 rpm using the same collection tube. Discard the flow through. Pipette another 500 μl of RPE Buffer solution (again to wash the column with ethanol) to the column with a new collection tube and centrifuge again for one minute at 10,000 rpm in a microcentrifuge. If the column is not totally dry, discard the flow through and recentrifuge at 16,000 rpm for one minute. Do not do this last step, if the column is dry.

Transfer the dry silica gel column to a new 1.5 m RNase free collection tube and pipette 30 μl of RNase free sterile water directly onto the silica gel membrane, holding the pipette only one or two millimeters above the membrane. Microcentrifuge the column at 10,000 rpm for one minute. This gives 30 μl of total RNA (tRNA). One may then OD (optical density with UV spectrophotometry) one μl of this, with or without dilution, to determine the concentration or quantity of total RNA (tRNA). One may also run a gel to be sure the bands indicate no degradation of the total RNA.

After the total RNA ( tRNA) is measured for concentration by OD, 3 μg is used for the T7 method of linear amplification. This may very from 500 nanograms to 5 μg, but 3 μg is the preferred amount. The solution is diluted to 10 μl volume, if dilution is necessary, with sterile RNase free water. A 10 fold amplification of the original quantity is desired. Actually the amplification of the messenger RNA to amplified anti-sense RNA (aRNA) is much greater, since the percentage of polyadenylated RNA (AAA messenger RNA) is very small compared to the amount of total RNA in the sample.

1 μg of the first strand synthesis promoter primer is added to the 10 μl of specimen after first thawing, mixing and briefly spinning the primer from the −20° C. frost free refrigerator. This 1 μg is carefully mixed and spun. Then, the specimen is placed in a thermal cycler for incubation at 65° C. for 5 minutes and cooled to 4° C. for denaturing and annealing. This denatures the total RNA and anneals the primer. (If experimentally one is using the Arcturus Kit [Arcturus RiboAmp RNA Amplification Kit # KIT0201] then Primer A is used in this step, according to their directions.)

First strand synthesis solutions (including dNTP, polymerase and buffers for pH) are thawed, mixed and spun for 2 seconds. They are then added to the specimen, stirred, mixed and briefly spun. This specimen is then placed in a thermal cycler for 60 minutes at 42° C. and cooled to 4° C. (If experimentally one is using the Arcturus Kit one mixes 7 μl of 1^(st) Strand Master Mix, then 2 μl of the 1^(st) Strand Enzyme Mix, giving a total of 20 μl.)

After the first strand synthesis a nuclease mix is thawed, mixed and spun briefly. 2 μl is added to the specimen which is briefly spun after being cooled to 4° C. after the last step. The nuclease mix is added to the specimen and spun briefly with a small lab bench centrifuge. This leaves the first strand synthesized specimen. It is then placed in the thermal cycler for 20 minutes at 37° C., 95° C. for 5 minutes and cooled to 4° C. destroying the nuclease after its effect. Spun down briefly. (Experimentally with the Arcturus Kit, one uses the 1^(st) Strand Nuclease Mix as directed.)

1 μl of the second primer is added to this mix after cooling to 4° C. for two or more minutes and spinning briefly. The specimen is then placed in a thermal cycler for 2 minutes at 95° C. and cooled to 4° C. (If experimentally using the Arcturus Kit, Primer B is used for this step of denaturing.)

2^(nd) strand synthesis solutions (dNTP, polymerase and buffers) are thawed, mixed and briefly spun. Then, added to the specimen. This is placed in a thermal cycler for 10 minutes at 25° C., 37° C. for 20 minutes and 70° C. for 5 minutes. Then, cooled to 4° C. (If experimentally one is using the Arcturus Kit 29 μl of 2^(nd) Strand Master Mix is used and then 1 μl of the 2^(nd) Strand Enzyme Mix, giving a total of 53 μl together with the specimen.)

Purification is then carried out by binding cDNA resulting from the previous steps to a column and washing the column with wash buffers of alcohol. Then, the DNA is eluted and taken to the next step. (If one experimentally is using the Arcturus Kit, 250 μl of DNA Binding Buffer is added to the DNA/RNA Purification Column in a collection tube and after several minutes at room temperature centrifuged at full in a microcentrifuge, 16,000 xg for one minute to prepare and wet the column, as per directions. Discard the flow through. Then, 200 μl of the DNA Binding Buffer is added to the 2^(nd) strand synthesis specimen very carefully with gentle thorough mixing and pipetted to the previously coated purification column. It is then centrifuged at 100 xg for two minutes and then 10,000 xg for 1 minute. Discard the flow through. The column is then washed with 250 μl of the Arcturus DNA Wash Buffer to the column and centrifuged at 16,000 xg for one minute. If the column is very dry transfer it to a 0.5 ml microcentrifuge tube and place 16 μl of elution buffer onto the center of the column from about 1 to 2 millimeters above the column. Allow to stand for two minutes, then microcentrifuge at 1,000 xg for one minute, then 16,000 xg for one minute. The flow through contains the purified cDNA.)

The process should be continued immediately by adding transcription solutions (buffers, dNTP and polymerase) and incubating in a thermal cycler with a heated lid at 42° C. for 4 hours then cooling to 4° C. (If one is experimentally using the Arcturus Kit, thaw, mix and spin the IVT Reaction solutions. Then, add 8 μl of the IVT Buffer, followed by 12 μl of the IVT Master Mix and 4 μl of the IVT Enzyme Mix, spinning after thoroughly mixing these together with the 16 μl of cDNA specimen. Place for 4 hours in the thermal cycler as above at 42° C.)

After the above step add a DNA nuclease mix to leave only amplified anti-sense RNA (aRNA) to the 4° C. cooled specimen and place in a thermal cycler for 15 minutes at 37° C. Again, cooling to 4° C. (If experimentally using the Arcturus Kit use 2 μl of DNase Mix thaw, mix and add to specimen, mixing and spinning prior to thermal cycler.)

Follow the above step with purification of the amplified anti-sense RNA (aRNA) with adherence to a wetted or prepared column and washing with an ethyl alcohol buffered solution. (If experimentally using the Arcturus Kit add 250 μl of RNA Binding Buffer to a DNA/RNA Purification Column, allowing this to stand for several minutes. Then spin the column at 16,000 xg in a lab bench microcentrifuge for one minute. Discard the flow through. Next, add 200 μl of this buffer to the specimen gently mixing it and pipette it to the purification column. Microcentrifuge at 100 xg for two minutes and 10,000 xg for one minute. Wash with 200 μl of RNA Wash Buffer added to the column and microcentrifuge at 10,000 xg for one minute. Discard the flow through. Again, add 200 ul of RNA Wash Buffer to the column and centrifuge at 16,000 xg to two minutes. Discard the flow through. Be sure the column is very dry. If it is not dry, then centrifuge at 16,000 xg for one minute again.)

To the dry column placed in a 0.5 ml microcentrifuge tube add 30 μl of elution solution and allow to stand for two minutes, placing the solution very carefully just above the center of the column, one to two millimeters above the column. After the two minutes, microcentrifuge the column at 1,000 xg for one minute, then 16,000 xg for one minute. The 30 μl of flow through contains the aRNA. (If one is experimentally using the Arcturus Kit, use RNA Elution Buffer to elute the column.)

The aRNA may now be stored at −80° C. One may measure the concentration with OD, optical density, and run a gel to check for aRNA degradation.

Following the above steps the aRNA may be checked with a bio-analyzer and microarrayed for gene expression. The gene expression patterns will then be analyzed with advanced software to determine the statistically significant expression of the pancreatic cancer and other disease conditions compared to the normal expected patterns of non-diseased control samples. ‘Gene Sight’ software with hierarchical clusters, statistical analysis of microarray ‘SAM’, a linear ANOVA method and other methods were used to analyze the microarray data in this determination of the significantly over expressed and under expressed genes distinguishing intraductal pancreatic adenocarcinoma from age and gender approximated controls without known pancreatic disease.

This method may be modified to increase the availability and reduce the laboratory time and cost of the test with the use of direct linear amplification of smaller amounts of total RNA to cDNA for direct attachment of dyes for microarray with different or hybrid promoters and primers (such as with the NuGene method). Also, this method may be enhanced by use with newer microfluid chips. Even more focused gene patterns may be evaluated with negatively selected combinations of subsets of the T and B lymphocytes for patterns of gene expression of early developing tumors, allowing early resection or destruction of the tumor before metastatic spread of the subsequent cancer.

This method gives the patterns needed for the early diagnosis of the pancreatic cancer. This method describes one useful method of accomplishing the invention claimed in this patent of using the peripheral blood monocyte-lymphocytes for the early diagnosis of pancreatic cancer and other disease conditions.

One hypothesis of this invention is that the peripheral blood lymphocyte microarray gene expression patterns will show a specific and unique identification of an intraductal pancreatic adenocarcinoma patient compared to the microarray gene expression patterns of informed volunteer age and gender approximated controls without known pancreatic disease. To test this hypothesis, peripheral blood mononuclear cells were isolated from the peripheral blood specimens of patients and controls. The isolated mononuclear cells were estimated to consist of about 80% to about 95% lymphocytes. The venous blood was drawn from a peripheral vein, usually an anti-cubital arm vein, of informed and consenting patients with subsequent pathology proven tissue diagnosis of intraductal pancreatic adenocarcinoma. These specimens were from intraductal pancreatic adenocarcinoma patients who did not have treatment with radiation or chemotherapy prior to the obtaining of the blood specimens. The gene expressions from the processed blood specimens were analyzed and compared to similar drawn and processed specimens from age and gender approximated informed volunteer controls without known pancreatic disease.

The blood was drawn into an RNase free, heparinized vacuum tube with a Ficoll gradient. The blood specimens were immediately processed with centrifugation and aspiration of the mononuclear cell layer with sterile RNase free pipettes and RNase free laboratory equipment. This process was started usually within 20 to 30 minutes of the drawing of the blood and certainly within 2 hours. This mononuclear cell layer was then washed and preserved according to a careful and consistent protocol described above. Further processing could be continued immediately or the preserved specimen could be stored at −80° C. for later processing.

As described above, Total RNA was extracted from the preserved cells and polyA messenger RNA from the total RNA was amplified to antisense aRNA or cDNA for subsequent hybridization to microarray human slides. Universal Human Reference RNA was similarly processed at that time for use as a reference standard. The antisense aRNA or cDNA from the preserved cells from a specimen and the Universal Human Reference RNA antisense aRNA or cDNA was hybridized to microarray human microarray slides and the slides processed to show the gene expression characteristics of the genes from the respective blood specimens of patients with pancreatic cancer and controls without pancreatic cancer. The results of these microarray hybridization studies were analyzed with the Gene Sight software using a Student's Test method. As stated above, other methods of analysis were also used, including the SAM method, a different linear ANOVA method and other methods. The results from all methods were compared and the results from different patient's specimens were compared. The individual genes were often matched to the control specimen genes with a pair Mean ratio difference of p 0.00001 (one chance in 10,000 that the indicated over expression, neutral expression, or under expression was random) or p 0.0001 (one chance in 1,000 that the indicated over expression, neutral expression, or under expression was random) for selection with Gene Sight software. The patterns of selection were noted with the Hierarchical Cluster method and the individual genes over and under-expressed in this comparison were recorded. Cross-expression of these genes between methods and specimens were recorded. In the standard microarray gene testing for human gene expression, two slides, human slide A with 9600 genes in duplicate and human slide B with 9600 different genes in duplicate are used. These two slides are used for each gene specimen. The Gene Sight or other software is then used to indicate the results in selected manners, such as in hierarchical clusters. The results obtained in this manner are colored charts showing the expression for individual genes in red if the gene is significantly over expressed, green if the gene is significantly under expressed, and black if there is no significant expression, referred to herein as neutral expression. These gene expression indications and charts for indicating gene expression are well known to those skilled in the art.

FIG. 1 shows the results of microarray determination of gene expression characteristics of three patients with known ductal pancreatic adenocarcinoma and seven persons without ductal pancreatic adenocarcinoma used as controls, and showing only gene expressions that have been determined to be different between patients with ductal pancreatic adenocarcinoma and controls without ductal pancreatic adenocarcinoma, at a p of 0.0001. FIG. 1 shows the results of slide A comparison. The first three columns from the left in FIG. 1, labeled at the bottom of each column as PA, show the gene expressions for the particular genes labeled for each row at the right side of the FIG. 1. The gene labels shown in FIG. 1 are the Image ID Numbers for the genes. Each column labeled PA represents a “patient differential gene expression pattern” as described earlier where the pattern is made up of the particular genes labeled on the right. The seven columns labeled C show the gene expressions for the particular indicated genes for the controls. Each column represents a differential gene expression pattern for a particular control. To generate a “normal differential gene expression pattern,” a combination of all seven individual control column patterns would be generated. Similarly, to generate a “condition differential gene expression pattern,” an average or other combination of all three individual patient column patterns would be generated. When printed in color, the greens and reds of some individual patterns sometimes vary in shade or intensity indicating the measured intensity of the over or under expression. However, in the black and white drawings of FIGS. 1-3, the red is indicated by diagonal lines sloping downwardly to the right and the green is indicated by diagonal lines sloping downwardly to the left. No indications are made to indicate intensity. The black indicates neutral intensity while the white or blank spaces indicate no measurement for that particular gene for that particular sample.

FIG. 1 shows particular genes that exhibit different expression between the patients with ductal pancreatic adenocarcinoma and the controls without ductal pancreatic adenocarcinoma. This data shows distinct patterns of gene expression microarrays with human slides A separating ductal pancreatic adenocarcinoma patients prior to treatment compared to age and gender approximated controls.

FIG. 2 shows the results of microarray determination of gene expression characteristics for the same three patients with known ductal pancreatic adenocarcinoma and the same seven persons without ductal pancreatic adenocarcinoma used as controls, as shown in FIG. 1. However, FIG. 2 shows only gene expressions that have been determined for particular genes to be different between patients with ductal pancreatic adenocarcinoma and controls without ductal pancreatic adenocarcinoma, at a p of 0.00001 rather than 0.0001 (only one chance in 10,000 that the indicated over expression, neutral expression, or under expression was random as opposed to one chance in 1,000). Thus, the difference of these particular genes, which are also included in the genes shown in FIG. 1, between a patient and a normal have a higher degree of indicating the presence of ductal pancreatic adenocarcinoma than the other genes shown on FIG. 1.

FIG. 3 shows the results of microarray determination of gene expression characteristics of four patients with known ductal pancreatic adenocarcinoma and eight persons without ductal pancreatic adenocarcinoma used as controls, and showing only gene expressions that have been determined to be different between patients with ductal pancreatic adenocarcinoma and controls without ductal pancreatic adenocarcinoma, at a p of 0.00001, similar to the p of FIG. 2. FIG. 3 shows the results of slide B comparison. The first four columns from the left in FIG. 3, labeled at the bottom of each column as PA, show the gene expressions for the particular genes labeled for each row at the right side of the FIG. 1. The eight columns labeled C show the gene expressions for the particular indicated genes for the controls. FIG. 3, shows distinct patterns of gene expression microarrays with human slide B separating ductal pancreatic adenocarcinoma patients prior to treatment compared to age and gender approximated controls.

The genes identified by Image ID Numbers in FIGS. 1-3 were further identified using the Oncogenomics and NCBI data reference sources listed as follows:

-   -   A. Oncogenomics, Pediatric Oncology Branch, CCR, NCI, NIH, DHHS.         -   http://home.ccr.cancer.gov/oncology/oncogenomics/     -   B. National Center for Biotechnology Information (NCBI)         -   National Library of Medicine (NLM)         -   National Institutes of Health (NIH)         -   http://www.ncbi.nlm.nih.gov             Sequence listing for the particular genes, where available,             may be found on one of these sites using the identification             for the gene provided here. Information regarding the             identified genes available on these web sites is             incorporated herein by reference.

The first four genes listed below were found to be significantly over expressed and the next two genes under expressed in the ductal pancreatic adenocarcinoma patients peripheral blood mononuclear cells, when compared to age and gender approximated controls, constituting a pattern of recognition of pancreatic cancer as compared to the gene expression patterns in those without pancreatic cancer Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID # 1. SOC Socius G#91544 Hs145061 ID#121239 2. C1orf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255 3. BCL6 B cell CLL lymphoma 6 (zinc finger protein 51) G#8067 Hs155024 ID#201727 4. LTBR lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900 5. Homo Sapians p38 beta 2 MAP kinase mRNA, completeCDS ID#84148 6. SLC9A3R2: solute carrier family 9(sodium hydrogen exchanger), isoform 3 regulater 2. Hs440896 ID#178569

When several of the fourteen genes listed below, are over-expressed in the peripheral blood mononuclear cells, they are most likely to express a pattern diagnostic of intraductal pancreatic adenocarcinoma. If two or more of the first 9 genes listed below are found to be over-expressed in the peripheral blood mononuclear cells, one should consider careful evaluation of the patient for the presence of a pancreatic tumor. If three or more of these first listed 14 genes are found to be expressed in an elevated state one should very carefully evaluate the patient for the presence of intraductal pancreatic adenocarcinoma. Gene # Unigene Gene Symbol Gene Name (Locus Link) Cluster Image ID #  1. SOC Socius G#91544 Hs145061 ID#121239  2. C1orf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255  3. LIMD1: LIM domain containing 1 G#8994 Hs193370 ID#795770(757350)  4. ESTs Hs47868 ID#244350  5. UBAP2L(NICE4) Ubiquitin associated protein 2-Like. G#9898 Hs8127 ID#245015 (NICE4 protein)  6. NUP93 Nucleoporin 93 kDA G#9688 Hs295014 ID#51918  7. BCL6 B cell CLL lymphoma 6 (zinc finger protein 51) G#8067 Hs155024 ID#201727  8. EST (Hs6716) ID#564126  9. LTBR lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900 10. MYC V-myc myctocytomatosis viral oncogene homolog (avain) G#4609 Hs202453 ID#812965 (417226) 11. RB1CC1 RB1-inducible coiled - coil 1 (Homo Sapiens) G#9821 Hs151202 ID#23431 12. SELL selrctin L (lymphocyte adhesion molecule 1) G#6402 Hs82848 ID#149910 13. LCP2 (SLP-76) lymphocyte cytosolic protein 2 G#3937 Hs2488 ID#415127(283715) 14. PRG1 Proteoglycan 1, secretin granule G#5552 Hs1908 ID#415021(703581)

The following 7 genes numbered 15 through 21 are most likely to form an under-expressed pattern in the diagnosis of intraductal pancreatic adenocarcinoma, as illustrated on the hierarchical cluster illustration examples of FIGS. 1-3. When one or more of these under-expressed genes is combined with the patterns of the first listed 14 over-expressed genes listed above the patient should be clinically very carefully evaluated for intraductal pancreatic adenocarcinoma. 15. Homo Sapians p38 beta 2 MAP kinase mRNA, completeCDS ID#84148 16. Prostacyclin-stimulating factor] human, cultured diplid fibroblast co Hs119206 ID#302482 17. SLC9A3R2: solute carrier family 9(sodium hydrogen exchanger), isoform 3 regulater 2. Hs440896 ID#178569 18. EST Transcribed sequence Hs480744 ID#757160 19. Transcribed sequences with moderate similarity to protein vet: NP_115737.1 homo sapiens Hs509207 ID#950395 hypothetical protein MGC 5469 20. EP400: E1A binding protein p400 (CAGH32) Hs507307 ID377000 21. IQSEC1: IQ motif and Sec7 domain 1 Hs475506 ID#767879

The first nine genes listed in Table 1 were found to be over-expressed in the different specimens and the methods of analysis. Although consistent results between all specimens was not established with regard to the degree of expression, a fairly consistent cross expression of these genes was noted. The remaining 22 genes were cross-expressed between the specimens, but without as great of degree of separation from the control values. The 31 genes in this table are the specific activated over-expressed and under-expressed genes in the peripheral blood mononuclear cells, consisting mostly of lymphocytes, in a specific response to intraductal pancreatic adenocarcinoma. The patterns of expression of these activated genes recorded on microarray will allow the diagnosis of intraductal pancreatic adenocarcinoma.

The 68 genes listed in Table 2 are the specific activated over-expressed and under-expressed genes in the peripheral blood mononuclear cells, consisting mostly of lymphocytes, in a specific response to intraductal pancreatic adenocarcinoma. The patterns of expression of these activated genes recorded on microarray will allow the diagnosis of intraductal pancreatic adenocarcinoma.

The patterns of difference as seen in the Hierarchal Clusters (FIGS. 1-3) between the pancreatic carcinoma patients and the controls reinforces the concept of a unique specific reaction of the various types of lymphocytes in the peripheral blood to the developing tumor, as one would expect from the TIL cell reaction with infiltration of specific lymphocytes to the tumor site. With one questionable exception *, these genes are not the genes noted in the peripheral blood mononuclear cells by Twine & Burczynski. Twine N C, et al. Disease-associated expression profiles in peripheral blood mononuclear cells from patients with advanced renal cell carcinoma. Cancer Res. 2003 Sep. 15; 63(18):6069-75. Burczynski M E, Twine N C et al. Transcriptional profiles in peripheral blood mononuclear cells prognostic of clinical outcomes in patients with advanced renal cell carcinoma. Clinical Cancer Res. 2005 Feb. 1; 11(3):1181-9, with melanoma by Xu. Xu T et al Microarray analysis reveals differences in gene expression of circulating CD8+ T cells in melanoma patients and healthy donors. Cancer Res. 2004 May 15; 64(10):3661-7 or by Hong. Hong M H, X. X., Mai H Q, Cao S M Min H Q, Analysis of gene expression patterns of periphery lymphocytes in patients with nasopharyngeal carcinoma. Ai Zheng, 2002. 21(1): p. 21-4. with naso-pharyngeal carcinoma; mitigating against a universal common generic gene expression reaction of the lymphocytes to all cancers and reinforcing the hypothesis of a specific recognition of the intraductal pancreatic adenocarcinoma by these lymphocytes. This method and concept can be applied to other pancreatic tumors and diseases, as well as to other gastrointestinal diseases. The evaluation of negatively selected subsets of peripheral blood lymphocytes such as CD8, CD4, CD4CD25 T lymphocytes and B lymphocytes may give a more precise and specific reacting gene expression pattern to the growing and changing tumor as it progresses. The use of pattern recognition rather than individual gene expression as a marker offers the advantage of countering the inherent variability in biological samples. Pattern recognition by combining the results of other tests, including proteomic SELDI-TOF patterns. Bhattacharyya S. Siegel E R, Peteresen G M, Chari S T, Suva L J, Haun R S. Diagnosis of pancreatic cancer using serum proteomic profiling. Neoplasia. 2004 September-October 6(5): 674-86 and the use of specific methylation markers Herman J G, Baylin S B Gene silencing in cancer in association with promoter hypermethylation. N Engl J Med. 2003 November 20: 349(21): 2042-54. together, will further focus and elucidate the presence of a developing tumor and its response to modes of therapy. (* Pyridoxal (pyridoxine, vitamin B6) kinase—noted on the original paper of Twine, et al. and on the linear ANOVA test of intraductal pancreatic adenocarcinoma only, but with different Hs. Identification.) TABLE 1 31 LISTED GENES Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #  1. SOC Socius G#91544 Hs145061 ID#121239  2. C1orf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255  3. LIMD1: LIM domain containing 1 G#8994 Hs193370 ID#795770(757350)  4. ESTs Hs47868 ID#244350  5. UBAP2L (NICE4) Ubiquitin associated protein 2-Like. G#9898 Hs8127 ID#245015 (NICE4 protein)  6. NUP93 Nucleoporin 93 kDA G#9688 Hs295014 ID#51918  7. ZNF313 Zinc finger protein 313 G#55905 Hs144949 ID#487165  8. PRUNE Prune Homolog (Drosphila, Homo Sapiens) G#149428 Hs78524 ID#364324 (HTCD37 TcD37 homolog 58497) (Hs78524)  9. FLJ12584 Hypothetical protein FLJ12584 G#80210 Hs471610 ID#269293 *10. PDXK pyrdoxal (pyridoxine, vitamin B6) G#8566 Hs284491 ID#590640 (C21orf124 chromosome 21 open reading frame 124)  11. MYC V-myc myctocytomatosis viral oncogene homolog (avain) G#4609 Hs202453 ID#812965 (417226)  12. RB1CC1 RB1-inducible coiled - coil 1 (Homo Sapiens) G#9821 Hs151202 ID#23431  13. NKG7 natural killer cell group 7 sequence G#4818 Hs10306 ID#71606  14. SELL selectin L (lymphocyte adhesion molecule 1) G#6402 Hs82848 ID#149910  15. LCP2 (SLP-76) lymphocyte cytosolic protein 2 G#3937 Hs2488 ID#415127(283715)  16. BCL6 B cell CLL lymphoma 6 (zinc finger protein 51) G#8067 Hs155024 ID#201727  17. EST (Hs6716) ID#564126  18. LTBR lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900  19. PRG1 Hematopoetic proteoglycan 1, secretory granule G#5675 Hs1908 ID#415021 (703581)  20. Serpine 1: (PAL1): Plasminogen - activation inhibitor type 1 G#24617 Hs82085 ID#589458  21. EDN1: Endothelin G#1906 Hs2271 ID#549409  22. (Homo sapiens chromosome associated protein - ECLAP-E ID#66638 mRNA complete c)  23. PBEF1: Human pre-B cell enhancing factor (PBEF) mRNA, complete cds 10135 Hs154968 ID#488548  24. FPR1: formyl peptide receptor 1 G#2357 Hs753 ID#773236  25. FLJ 31978: hypothetical protein FLJ 31978 G#144423 Hs12381 ID#809504  26. BNC2 basonuclin 2 G#54796 Hs103853 ID#344036  27. MAST3 microtubule associated serine/threonine kinase 3 G#23031 Hs173864 ID#203350 (KIAA0561)  28. LOC113330 hypothetical gene supported by NM 005631 ID#113330  29. (LOC487647 similar to hypothetical protein FLJ21128) ID#487647  30. EST (ZGC86904) ZGC86904 (dario revio) (ZDB-GENE-040625) Hs64906 ID#415186  31. EST moderately similar to WW domain binding protein 1 Hs7709 ID998681 (M. musculus) (cbp A curved DNA binding protein)

TABLE 2 The 68 genes in this table are the specific activated over-expressed and under-expressed genes in the peripheral blood mononuclear cells, consisting mostly of lymphocytes, in a specific response to intraductal pancreatic adenocarcinoma. The patterns of expression of these activated genes recorded on microarray will allow the diagnosis of intraductal pancreatic adenocarcinoma. Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #  1. BCL6 B-cell CLL/lymphoma-6 (Zinc finger protein 51) G#604 Hs155024 ID# 201727  2. SOC Socius G#91544 Hs145061 ID#121239  3. C1orf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255  4. LIMD1: LIM domain containing 1 G#8994 Hs193370 ID#757350  5. ESTs Hs47868 ID#244350  6. UBAP2L (NICE4) Ubiquitin associated protein 2-Like. G#9898 Hs8127 ID#245015 (NICE4 protein)  7. IGA9 Integrin, alpha 9 G#3680 Hs222 ID#898288 (weakly similar to CCAAT Box - BINDing transcript factor 1)  8. NR6A1 Nuclear receptor subfamily 6, group A, number 1 G#2649 Hs195161 ID#743582  9. LMCD1 LIM and cysteine-rich domain 1 G#29995 Hs279943 ID#786550 10. SYN2 Synapsin II G#6854 Hs445503 ID#51254 11. FGD4 FYVE, Rho GEF and PH domain containing 4 G#121512 Hs409311 ID#730270 12. Transcribed sequences G#23283 Hs12700 ID#30959 13. ESTs (Moderately similar to Munc 13 [H. Sapiens]) Hs112921 ID#1055608 14. AP1S2 Adaptor-related protein complex 1, Sigma 1 subunit 2 G#8905 Hs40368 ID#813756 15. PB1 Polybromo 1 G#55193 Hs173220 ID#813644 16. PARD3 Par-3 partitioning defective 3 homolog (C. elegans) G#56288 Hs98872 ID#753026 (Transcribed sequence) 17. CDNA FLJ20913F13cloneADSEOO630 Hs7063 ID#49110 18. EST Transcribed locus Hs21169 ID#30102 19. ZD73D05 Full length insert cDNA clone ZD73D05 Hs134314 ID#346281 20. KIAA0789: KIAA0789 gene product. G#9671 Hs158319 ID#33621 21. E2IG4 hypothetical protein estradiol-induced G#25987 Hs8361 ID27098 22. C18orf11 Chromosome 18 open reading frame 11 G#64762 Hs12727 ID#37671 23. ESTs transcribed locus. Hs537583 ID#626765 24. RAMP: RA-regulated nuclear matrix associated protein G#51514 Hs126774 ID#41815O 25. CLDN1: claudin 1 G#9076 Hs7327 ID#664975 26. FAM38B: Family with sequence similarly 38 member B. G#63895 Hs293907 ID#302766 27. CDNA FLJ144273 fis, clone TOVAR 2001281 G#389011 Hs142074 ID#241900 28. ESTs Hs28501 ID#139883 29. VNN3 vanin 3 G#55350 Hs183656 ID#120544 30. EST Hs45033 ID#485827 31. SLC1A7 Solute carrier family 1 (glutamate transporter) member 7 G#6512 Hs104637 ID#276515 32. ALCAM: Activated leukocyte cell adhesion molecule (G#214?) Hs10247[Hs150693?] ID#686180 33. SLC22A3: solute carrier family 22 (extraneuronal monamine G#6581 HS242721 ID#127120 transporter, member 3 34. CD44? Hs169610 ID#530788 35. EST Hs6716 ID#564126 36. LTBR: lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900 37. MRNA cDNA DKFZp434D0818 (from cloneDKFZp434D0818) Hs5855 ID#308478 38. CD59: antigen p18-20 (antigen identification by monoclonal G#966 Hs278573 ID#208001 antibodies 16.3A5, EJ16, EJ30, EL32 andG344) 39. BBX: Bobby sox homolog (Drosophila) G#56987 Hs35380 ID#503691 40. NR6A1: Nuclear receptor subfamily 6, group A, member1 G#2649 Hs195161 ID#258666 41. Homo Sapians p38 beta 2 MAP kinase mRNA, completeCDS ID#84148 42. Hs119206 Prostacyclin-stimulating factor] human, ID#502482 cultured diplid fibroblast co 43. SLC9A3R2: solute carrier family 9(sodium hydrogen exchanger), G#9351 Hs440896 ID#178569 isoform 3 regulater 2. 44. EST Transcribed sequence Hs480744 ID#757160 45. Transcribed sequences with moderate similarity to protein vet: Hs509207 ID#950395 NP_115737.1 homo sapiens hypothetical protein MGC 5469 46. EP400: E1A binding protein p400 G#57634 Hs507307 AA427519 ID#377000 (CAGH32) protein EP400: E1A binding protein p400 47. IQSEC1: IQ motif and Sec7 domain 1G#9922 Hs475506 AA418726 ID#767879 IQSEC1: IQmotif and Sec7 domain 1. 48 LPHN2: Lactrophilin 2 G#23266 Hs24212 ID#346583 49. PHF10: PHD finger protein 10 Homo Sapiens G#55274 Hs435933 ID#138589 50. ZCCHC11: Zinc finger, CCHC domain containing 11 G#23318 Hs528341 ID#785963 51. FLJ14775: Hypothetical protein FLJ14775 G#84923 Hs103555 ID194023 52. TRIM37: Tripartite motif-containing 37 Homo Sapiens G#4591 Hs80667 ID#305520 53. DHX34: DEAH (Asp-Glu-Ala-His) box polypeptide 34 G#9704 Hs151706 ID#739990 54. EST Hs22031 ID#129624 55. EST Transcribed sequence Hs226284 ID#124052 56. FLJ00133 FLJ00133 protein G#25992 Hs471834 ID#341641 57. MGC15407 similar to RIKEN cDNA4931428D14 G#112942 Hs23128 ID#364873 58. SPTAI: spectrin, alpha, erthrocytic 1 (elliptocytosis 2) G#6078 Hs418378 ID#204774 59. SLC26A2: solute carrier family 26 (sulfate transporter) member 2 G#1836 Hs302738 ID#322537 60. NVP160 nucleoporin 160 kDa G#23279 Hs22559 ID#33299] 61. ID#48772] 62. FPR1: formyl peptide receptor 1 G#2357 Hs753 ID#773236 63. Serpine 1: (PAL1): Plasminogen - activation inhibitor type 1 G#24617 Hs82085 ID#589458 64. EDN1: Endothelin G#1906 Hs2271 ID#549409 65. FLJ 31978: hypothetical protein FLJ 31978 G#144423 Hs12381 ID#809504 66. PRGI: Hematopoetic protoglycan core protein G#5552 Hs1909 ID#415021(703581) 67. SMC2L1: structural maintaince of chromosome 2 G#10592 Hs119023 ID#66638 (Homo sapiens chromosome associataed protein - ECLAP-E mRNA complete c) 68. PBEF1: Human pre-B cell enhancing factor (PBEF) mRNA, complete cds G#10135 Hs154968 ID#488548

Once particular genes are identified to look at for particular conditions, i.e., the particular genes are identified for a normal differential gene expression pattern for a paticular condition or for a condition differential gene expression pattern for a particular condition which identifies the particular genes to be looked at for either differences or similarities to determine if a person is suffering from the particular condition, microarrays can be configured to provide only information on the particularly identified genes, i.e., to create the patient differential gene expression pattern. Thus, for screening for pancreatic cancer, a microarray could be configured to determine the expression for the patient to be screened of the particular genes identified in Table 1 or in Table 2 and a patient could be screened by looking at the expression for only those particular genes. The patient differential gene expression pattern would be generated by the microarray and then compared with either the normal differential gene expression for differences or the condition differential gene expression pattern for similarities to determine if the patient was likely to be suffering from the condition.

To show that different conditions, even when similar, can be identified, patient differential gene expression patterns were obtained for two patients having known intraductal mucinous pancreatic neoplasm. The patient differential gene expression patterns for these two patients are shown in FIG. 4 in the last two columns labeled IMPN. The gene expression patterns of the two patients known to have ductal pancreatic adenocarcinoma are labeled PA. These two intraductal pancreatic adenocarcinoma patients with intraductal mucinous pancreatic neoplasms were analyzed with a consistent method on human slide B with Significant Analysis of Microarray (SAM) with the Students T Test and a p value of 0.0001 using Gene Sight software. The consistent patterns of over and under expression of the eleven identified genes allow the establishment of significant patterns characteristic of this intraductal pancreatic cancer state as compared to the other pancreatic conditions. This indicates that the method of the invention can be used to distinguish between different pancreatic conditions, so could be used to distinguish between pancreatic disease conditions including islet cell tumors, other growths, and inflammatory states.

While the invention has been described with specific reference to pancreatic disease conditions, and expression patterns for specific genes have been identified for use in screening patients for pancreatic disease conditions, the method of the invention can be used for screening various other bodily conditions and in generating patterns for specific genes for use with other bodily conditions.

Whereas the invention is here illustrated and described with reference to embodiments thereof presently contemplated as the best mode of carrying out the invention in actual practice, it is to be understood that various changes may be made in adapting the invention to different embodiments without departing from the broader inventive concepts disclosed herein and comprehended by the claims that follow. 

1. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, comprising the steps of: obtaining a sample of peripheral blood monocyte-lymphocytes from the patient to be screened for a particular gastrointestinal disease condition; processing the sample of peripheral blood monocyte-lymphocytes to allow determination of gene expression characteristics of genes from the sample peripheral blood monocyte-lymphocytes; determining gene expression characteristics from the genes from the sample peripheral blood monocyte-lymphocytes; obtaining a patient differential gene expression pattern for the patient from the gene expression characteristics from the sample peripheral blood monocyte-lymphocytes; comparing the patient differential gene expression pattern with one of either a normal differential gene expression pattern typical of a person known not to be suffering from the disease condition for which the patient is being screened, significant differences between the normal differential pattern and the patient differential pattern indicating a diseased condition in the patient or a condition differential gene expression pattern typical of a person known to be suffering from the disease condition for which the patient is being screened, significant similarities between the condition differential pattern and the patient differential pattern indicating a diseased condition in the patient.
 2. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 1, wherein the normal differential gene expression pattern is created from a comparison of gene expression characteristics from a sample of people known not to be suffering from the disease condition for which the patient is being screened and gene expression characteristics from a sample of people known to be suffering from the disease condition for which the patient is being screened.
 3. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 2, wherein the normal differential gene expression pattern includes particular genes selected from the sample of people known not to be suffering from the disease condition for which the patient is being screened which were determined to be likely to have different gene expression characteristics than the same genes from the sample of people known to be suffering from the disease condition for which the patient is being screened.
 4. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 3, wherein the step of determining the genes from the sample of people known not to be suffering from the disease condition for which the patient is being screened that are likely to have different gene expression characteristics than the same genes from the sample of people known to be suffering from the disease condition for which the patient is being screened, determines the probability of a likelihood of difference and selects genes having a least a predetermined probability of difference.
 5. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 3, wherein the normal differential gene expression pattern is made up of gene expression characteristics for a limited number genes, at least the majority of which are genes from the sample of people known not to be suffering from the disease condition for which the patient is being screened which were determined to be likely to be different from the same genes from the sample of people known to be suffering from the disease condition for which the patient is being screened.
 6. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 5, wherein the differential gene expression pattern for the patient is made up of the gene expression characteristics for the same limited number of genes as in the normal differential gene expression pattern.
 7. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 6, wherein the step of determining gene expression characteristics from the genes from the sample peripheral blood monocyte-lymphocytes determines the gene expression characteristics for a number of genes including all genes included in the normal differential gene expression pattern.
 8. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 6, wherein the step of determining gene expression characteristics from the genes from the sample peripheral blood monocyte-lymphocytes determines the gene expression characteristics for only those genes included in the normal differential gene expression pattern.
 9. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 1, wherein the step of processing the sample of peripheral blood monocyte-lymphocytes to allow determination of gene expression characteristics of genes from the sample peripheral blood monocyte-lymphocytes includes the steps of processing the peripheral blood monocyte-lymphocytes to total RNA, and obtaining amplified aRNA or cDNA from the total RNA.
 10. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 9, wherein the total RNA includes polyadenylated messenger RNA, and the step of obtaining amplified aRNA or cDNA from the total RNA obtains the amplified aRNA or cDNA from the polyadenylated messenger RNA.
 11. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 9, wherein the step of determining gene expression characteristics from the genes from the sample peripheral blood monocyte-lymphocytes obtains a gene expression pattern for the amplified anti-sense aRNA or cDNA.
 12. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 11, wherein the step of determining gene expression characteristics from the genes from the sample peripheral blood monocyte-lymphocytes obtains a gene expression microarray pattern for the amplified anti-sense aRNA or cDNA.
 13. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 1, wherein the step of determining gene expression characteristics from the genes from the sample peripheral blood monocyte-lymphocytes obtains a gene expression microarray pattern for the genes.
 14. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 13, wherein the step of obtaining a sample of peripheral blood monocyte-lymphocytes from the patient includes the step of obtaining a sample of peripheral blood from the patient and the step of separating and obtaining a sample of sets of CD8, CD4, and CD4-CD25 T lymphocytes and B lymphocytes.
 15. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 14, wherein the step of separating and obtaining a sample of sets of CD8, CD4, and CD4-CD25 T lymphocytes and B lymphocytes obtains the sets of CD8, CD4, and CD4- CD25 T lymphocytes and B lymphocytes through negative selection of the cells to total RNA with amplification of polyadenylated messenger RNA to amplified anti-sense aRNA or to cDNA.
 16. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 15, wherein the step of determining gene expression characteristics from the genes from the sample peripheral blood monocyte-lymphocytes obtains a gene expression pattern for the amplified anti-sense aRNA or cDNA.
 17. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 16, wherein the step of determining gene expression characteristics from the genes from the sample peripheral blood monocyte-lymphocytes obtains a gene expression microarray pattern for the amplified anti-sense aRNA or cDNA.
 18. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 1, wherein the condition to be detected is pancreatic cancer and wherein the patient differential gene expression pattern includes the following genes: Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #
 1. SOC Socius G#91544 Hs145061 ID#121239
 2. C1orf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255
 3. BCL6 B cell CLL lymphoma 6 (zinc finger protein 51) G#8067 Hs155024 ID#201727
 4. LTBR lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900


19. A method for detection of pancreatic cancer and other gastrointestinal disease conditions in a patient, according to claim 1, wherein the condition to be detected is pancreatic cancer and wherein the patient differential gene expression pattern includes the following genes: Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #
 1. SOC Socius G#91544 Hs145061 ID#121239
 2. C1orf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255
 3. BCL6 B cell CLL lymphoma 6 (zinc finger protein 51) G#8067 Hs155024 ID#201727
 4. LTBR lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900
 5. Homo Sapians p38 beta 2 MAP kinase mRNA, completeCDS ID#84148
 6. SLC9A3R2: solute carrier family 9(sodium hydrogen exchanger), isoform 3 regulater
 2. Hs440896 ID#178569


20. A method for detection of pancreatic cancer and other disease conditions in a patient, comprising the steps of: obtaining a sample of peripheral blood from the patient; separating and obtaining a sample of peripheral blood monocyte-lymphocytes from the patient; obtaining amplified anti-sense aRNA or cDNA from the peripheral blood monocyte-lymphocytes; obtaining a gene expression microarray pattern for the amplified anti-sense aRNA or cDNA; obtaining a patient differential gene expression pattern for the patient from the gene expression microarray pattern; comparing the patient differential gene expression pattern with one of either a normal differential gene expression pattern typical of a person known not to be suffering from the disease condition for which the patient is being screened, significant differences between the normal differential pattern and the patient differential pattern indicating a diseased condition in the patient or a condition differential gene expression pattern typical of a person known to be suffering from the disease condition for which the patient is being screened, significant similarities between the condition differential pattern and the patient differential pattern indicating a diseased condition in the patient.
 21. A method of screening a patient for the presence of pancreatic cancer comprising determining if any of the following four genes obtained from the monocyte-lymphocyte gene system of the peripheral blood of the patient are over expressed, the number of such genes being over expressed being an indication of the chance of the patient having pancreatic cancer, the more of said genes being over expressed indicating a greater chance of the patient having pancreatic cancer: Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #
 1. SOC Socius G#91544 Hs145061 ID#121239
 2. Clorf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255
 3. BCL6 B cell CLL lymphoma 6 (zinc finger protein 51) G#8067 Hs155024 ID#201727
 4. LTBR lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900


22. A method of screening a patient for the presence of pancreatic cancer according to claim 21, additionally including the step of determining if any of the additional following two genes obtained from the monocyte-lymphocyte gene system of the peripheral blood of the patient are under expressed, if any of said additional genes are under expressed and the number of such genes being under expressed being an indication of the chance of the patient having pancreatic cancer, the more of said genes being under expressed indicating a greater chance of the patient having pancreatic cancer: Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #
 1. Homo Sapians p38 beta 2 MAP kinase mRNA, completeCDS ID#84148
 2. SLC9A3R2: solute carrier family 9(sodium hydrogen exchanger), isoform 3 regulater
 2. Hs440896 ID#178569


23. A method of screening a patient for the presence of pancreatic cancer according to claim 22, wherein the step of determining if any of the additional genes are under expressed additionally includes the step of determining if any of the following additional five genes obtained from the monocyte-lymphocyte gene system of the peripheral blood of the patient are under expressed, the number of such genes being under expressed being an indication of the chance of the patient having pancreatic cancer, the more of said genes being under expressed indicating a greater chance of the patient having pancreatic cancer: Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #
 1. Prostacyclin-stimulating factor] human, cultured diplid fibroblast co Hs119206 ID#302482
 2. EST Transcribed sequence Hs480744 ID#757160
 3. Transcribed sequences with moderate similarity to protein vet: Hs509207 ID#950395 NP_115737.1 homo sapiens hypothetical protein MGC 5469
 4. EP400: E1A binding protein p400 (CAGH32) Hs507307 ID377000
 5. IQSEC1: IQ motif and Sec7 domain 1 Hs475506 ID#767879


24. A method of screening a patient for the presence of pancreatic cancer according to claim 21, wherein the step of determining if any of the four genes obtained from the monocyte-lymphocyte gene system of the peripheral blood of the patient are over expressed additionally includes the step of determining if any of the following additional ten genes obtained from the monocyte-lymphocyte gene system of the peripheral blood of the patient are over expressed, the number of such genes being over expressed being an indication of the chance of the patient having pancreatic cancer, the more of said genes being over expressed indicating a greater chance of the patient having pancreatic cancer: Gene # Unigene Gene Symbol Gene Name (Locus Link) Cluster Image ID # 
 1. LIMD1: LIM domain containing 1 G#8994 Hs193370 ID#795770(757350) 
 2. ESTs Hs47868 ID#244350 
 3. UBAP2L(NICE4) Ubiquitin associated protein 2-Like. G#9898 Hs8127 ID#245015 (NICE4 protein) 
 4. NUP93 Nucleoporin 93 kDA G#9688 Hs295014 ID#51918 
 5. EST (Hs6716) ID#564126 
 6. MYC V-myc myctocytomatosis viral oncogene homolog (avain) G#4609 Hs202453 ID#812965 (417226) 
 7. RB1CC1 RB1-inducible coiled - coil 1 (Homo Sapiens) G#9821 Hs151202 ID#23431 
 8. SELL selrctin L (lymphocyte adhesion molecule 1) G#6402 Hs82848 ID#149910 
 9. LCP2 (SLP-76) lymphocyte cytosolic protein 2 G#3937 Hs2488 ID#415127(283715)
 10. PRG1 Proteoglycan 1, secretin granule G#5552 Hs1908 ID#415021(703581)


25. A method of screening a patient for the presence of pancreatic cancer according to claim 24, additionally including the step of determining if any of the additional following seven genes obtained from the monocyte-lymphocyte gene system of the peripheral blood of the patient are under expressed, if any of said additional genes are under expressed and the number of such genes being under expressed being an indication of the chance of the patient having pancreatic cancer, the more of said genes being under expressed indicating a greater chance of the patient having pancreatic cancer: Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #
 1. HomoSapians p38 beta 2 MAP kinase mRNA, completeCDS ID#84148
 2. Prostacyclin-stimulating factor] human, cultured diplid fibroblast co Hs119206 ID#302482
 3. SLC9A3R2: solute carrier family 9(sodium hydrogen exchanger), isoform 3 regulater
 2. Hs440896 ID#178569
 4. EST Transcribed sequence Hs480744 ID#757160
 5. Transcribed sequences with moderate similarity to protein vet: Hs509207 ID#950395 NP_115737.1 homo sapiens hypothetical protein MGC 5469
 6. EP400: E1A binding protein p400 (CAGH32) Hs507307 ID377000
 7. IQSEC1: IQ motif and Sec7 domain 1 Hs475506 ID#767879


26. A method of screening a patient for the presence of pancreatic cancer comprising comparing the gene expressions of the following thirty-one genes obtained from the monocyte-lymphocyte gene system of the peripheral blood of the patient with the gene expressions of the same thirty-one genes of either a normal differential gene expression pattern typical of a person known not to be suffering from the pancreatic cancer, significant differences between the normal differential gene expression pattern and the gene expressions of the patient indicating a likelihood of the patient having pancreatic cancer, the greater the differences the greater the chance of the patient having pancreatic cancer, or a condition differential gene expression pattern of the same thirty-one genes typical of a person known to be suffering from pancreatic cancer, significant similarities between the condition differential pattern and the gene expressions of the patient indicating a likelihood of the patient having pancreatic cancer, the greater the similarities the greater chance of the patient having pancreatic cancer: Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID #
 1. SOC Socius G#91544 Hs145061 ID#121239
 2. C1orf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255
 3. LIMD1: LIM domain containing 1 G#8994 Hs193370 ID#795770(757350)
 4. ESTs Hs47868 ID#244350
 5. UBAP2L(NICE4) Ubiquitin associated protein 2-Like. G#9898 Hs8127 ID#245015 (NICE4 protein)
 6. NUP93 Nucleoporin 93 kDA G#9688 Hs295014 ID#51918
 7. ZNF313 Zinc finger protein 313 G#55905 Hs144949 ID#487165
 8. PRUNE Prune Homolog (Drosphila, Homo Sapiens) G#149428 Hs78524 ID#364324 (HTCD37 TcD37 homolog 58497) (Hs78524)
 9. FLJ12584 Hypothetical protein FLJ12584 G#80210 Hs471610 ID#269293 *10. PDXK pyrdoxal (pyridoxine, vitamin B6) G#8566 Hs284491 ID#590640 (C21orf124 chromosome 21 open reading frame 124)
 11. MYC V-myc myctocytomatosis viral oncogene homolog (avain) G#4609 Hs202453 ID#812965 (417226)
 12. RB1CC1 RB1-inducible coiled - coil 1 (Homo Sapiens) G#9821 Hs151202 ID#23431
 13. NKG7 natural killer cell group 7 sequence G#4818 Hs10306 ID#71606
 14. SELL selectin L (lymphocyte adhesion molecule 1) G#6402 Hs82848 ID#149910
 15. LCP2 (SLP-76) lymphocyte cytosolic protein 2 G#3937 Hs2488 ID#415127(283715)
 16. BCL6 B cell CLL lymphoma 6 (zinc finger protein 51) G#8067 Hs155024 ID#201727
 17. EST (Hs6716) ID#564126
 18. LTBR lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900
 19. PRG1 Hematopoetic proteoglycan 1, secretory granule G#5675 Hs1908 ID#415021 (703581)
 20. Serpine 1: (PAL1): Plasminogen - activation inhibitor type 1 G#24617 Hs82085 ID#589458
 21. EDN1: Endothelin G#1906 Hs2271 ID#549409
 22. (Homo sapiens chromosome associataed protein - ID#66638 ECLAP-E mRNA complete c)
 23. PBEF1: Human pre-B cell enhancing factor (PBEF) mRNA, Hs154968 ID#488548 complete cds 10135
 24. FPR1: formyl peptide receptor 1 G#2357 Hs753 ID#773236
 25. FLJ31978: hypothetical protein FLJ 31978 G#144423 Hs12381 ID#809504
 26. BNC2 basonuclin 2 G#54796 Hs103853 ID#344036
 27. MAST3 (KIAA0561) microtubule associated serine/threonine kinase 3 G#23031 Hs173864 ID#203350
 28. LOC113330 hypothetical gene supported by NM 005631 ID#113330
 29. (LOC487647 similar to hypothetical protein FLJ21128) ID#487647
 30. EST (ZGC86904) ZGC86904 (dario revio) (ZDB-GENE-040625) Hs64906 ID#415186
 31. EST moderately similar to WW domain binding protein 1 Hs7709 ID998681 (M. musculus) (cbp A curved DNA binding protein)


27. A method of screening a patient for the presence of pancreatic cancer comprising comparing the gene expressions of the following sixty-eight genes obtained from the monocyte-lymphocyte gene system of the peripheral blood of the patient with the gene expressions of the same sixty-eight genes of either a normal differential gene expression pattern typical of a person known not to be suffering from the pancreatic cancer, significant differences between the normal differential gene expression pattern and the gene expressions of the patient indicating a likelihood of the patient having pancreatic cancer, the greater the differences the greater chance of the patient having pancreatic cancer, or a condition differential gene expression pattern typical of a person known to be suffering from pancreatic cancer, significant similarities between the condition differential pattern and the gene expressions of the patient indicating a likelihood of the patient having pancreatic cancer, the greater the similarities the greater chance of the patient having pancreatic cancer: Gene # Gene Symbol Gene Name (Locus Link) Unigene Cluster Image ID # 
 1. BCL6 B-cell CLL/lymphoma-6 (Zinc finger protein 51) G#604 Hs155024 ID#201727 
 2. SOC Socius G#91544 Hs145061 ID#121239 
 3. C1orf38: Chromosome 1 open reading frame 38 G#9473 Hs10649 ID#307255 
 4. LIMD1: LIM domain containing 1 G#8994 Hs193370 ID#757350 
 5. ESTs Hs47868 ID#244350 
 6. UBAP2L(NICE4) Ubiquitin associated protein 2-Like. G#9898 Hs8127 ID#245015 (NICE4 protein) 
 7. IGA9 Integrin, alpha 9 G#3680 Hs222 ID#898288 (weakly similar to CCAAT Box - BINDing transcript factor 1) 
 8. NR6A1 Nuclear receptor subfamily 6, group A, number 1 G#2649 Hs195161 ID#743582 
 9. LMCD1 LIM and cysteine-rich domain 1 G#29995 Hs279943 ID#786550
 10. SYN2 Synapsin II G#6854 Hs445503 ID#51254
 11. FGD4 FYVE, Rho GEF and PH domain containing 4 G#121512 Hs409311 ID#730270
 12. Transcribed sequences G#23283 Hs12700 ID#30959
 13. ESTs (Moderately similar to Munc 13 [H. Sapiens]) Hs112921 ID#1055608
 14. AP1S2 Adaptor-related protein complex 1, Sigma 1 subunit 2 G#8905 Hs40368 ID#813756
 15. PB1 Polybromo 1 G#55193 Hs173220 ID#813644
 16. PARD3 Par-3 partitioning defective 3 homolog (C. elegans) G#56288 Hs98872 ID#753026 (Transcribed sequence)
 17. CDNA FLJ20913F13cloneADSEOO630 Hs7063 ID#49110
 18. EST Transcribed locus Hs21169 ID#30102
 19. ZD73D05 Full length insert cDNA clone ZD73D05 Hs134314 ID#346281
 20. KIAA0789: KIAA0789 gene product. G#9671 Hs158319 ID#33621
 21. E2IG4 hypothetical protein estradiol-induced G#25987 Hs8361 ID27098
 22. C18orf11 Chromosome 18 open reading frame 11 G#64762 Hs12727 ID#37671
 23. ESTs transcribed locus. Hs537583 ID#626765
 24. RAMP: RA-regulated nuclear matrix associated protein G#51514 Hs126774 ID#41815O
 25. CLDN1: claudin 1 G#9076 Hs7327 ID#664975
 26. FAM38B: Family with sequence similarly 38 member B. G#63895 Hs293907 ID#302766
 27. CDNA FLJ144273 fis, clone TOVAR 2001281 G#389011 Hs142074 ID#241900
 28. ESTs Hs28501 ID#139883
 29. VNN3 vanin 3 G#55350 Hs183656 ID#120544
 30. EST Hs45033 ID#485827
 31. SLC1A7 Solute carrier family 1 (glutamate transporter) member 7 G#6512 Hs104637 ID#276515
 32. ALCAM: Activated leukocyte cell adhesion molecule (G#214?) Hs10247[Hs150693?] ID#686180
 33. SLC22A3: solute carrier family 22 (extraneuronal monamine transporter, G#6581 HS242721 ID#127120 member 3
 34. CD44? Hs169610 ID#530788
 35. EST Hs6716 ID#564126
 36. LTBR: lymphotoxin beta receptor (TNFR superfamily, member 3) G#4055 Hs1116 ID#811900
 37. MRNA cDNA DKFZp434D0818 (from cloneDKFZp434D0818) Hs5855 ID#308478
 38. CD59: antigen p18-20 (antigen identification by monoclonal antibodies G#966 Hs278573 ID#208001 16.3A5, EJ16, EJ30, EL32 andG344)
 39. BBX: Bobby sox homolog (Drosophila) G#56987 Hs35380 ID#503691
 40. NR6A1: Nuclear receptor subfamily 6, group A, member1 G#2649 Hs195161 ID#258666
 41. HomoSapians p38 beta 2 MAP kinase mRNA, completeCDS ID#84148
 42. Hs119206 Prostacyclin-stimulating factor] human, cultured diplid ID#502482 fibroblast co
 43. SLC9A3R2: solute carrier family 9(sodium hydrogen exchanger), isoform 3 G#9351 Hs440896 ID#178569 regulater
 2. 44. EST Transcribed sequence Hs480744 ID#757160
 45. Transcribed sequences with moderate similarity to protein vet: Hs509207 ID#950395 NP_115737.1 homo sapiens hypothetical protein MGC 5469
 46. EP400: E1A binding protein p400 G#57634 Hs507307 (CAGH32) AA427519 ID#377000 protein EP400: E1A binding protein p400
 47. IQSEC1: IQ motif and Sec7 domain 1G#9922 Hs475506 IQSEC1: IQmotif AA418726 ID#767879 and Sec7 domain
 1. 48 LPHN2: Lactrophilin 2 G#23266 Hs24212 ID#346583
 49. PHF10: PHD finger protein 10 Homo Sapiens G#55274 Hs435933 ID#138589
 50. ZCCHC11: Zinc finger, CCHC domain containing 11 G#23318 Hs528341 ID#785963
 51. FLJ14775: Hypothetical protein FLJ14775 G#84923 Hs103555 ID194023
 52. TRIM37: Tripartite motif-containing 37 Homo Sapiens G#4591 Hs80667 ID#305520
 53. DHX34: DEAH (Asp-Glu-Ala-His) box polypeptide 34 G#9704 Hs151706 ID#739990
 54. EST Hs22031 ID#129624
 55. EST Transcribed sequence Hs226284 ID#124052
 56. FLJ00133 FLJ00133 protein G#25992 Hs471834 ID#341641
 57. MGC15407 similar to RIKEN cDNA4931428D14 G#112942 Hs23128 ID#364873
 58. SPTAI: spectrin, alpha, erthrocytic 1 (elliptocytosis 2) G#6078 Hs418378 ID#204774
 59. SLC26A2: solute carrier family 26 (sulfate transporter) member 2 G#1836 Hs302738 ID#322537
 60. NVP160 nucleoporin 160 kDa G#23279 Hs22559 ID#33299]
 61. ID#48772]
 62. FPR1: formyl peptide receptor 1 G#2357 Hs753 ID#773236
 63. Serpine 1: (PAL1): Plasminogen - activation inhibitor type 1 G#24617 Hs82085 ID#589458
 64. EDN1: Endothelin G#1906 Hs2271 ID#549409
 65. FLJ 31978: hypothetical protein FLJ 31978 G#144423 Hs12381 ID#809504
 66. PRGI: Hematopoetic protoglycan core protein G#5552 Hs1909 ID#415021(703581)
 67. SMC2L1: structural maintaince of chromosome 2 G#10592 Hs119023 ID#66638 (Homo sapiens chromosome associataed protein - ECLAP-E mRNA complete c)
 68. PBEF1: Human pre-B cell enhancing factor (PBEF) mRNA, complete cds G#10135 Hs154968 ID#488548 